CO2 Energy Transition (NOEM) Change in Accured Expenses (2023 - 2026)
CO2 Energy Transition's Change in Accured Expenses came in at $59,542 for Q2 2026, compared with -$51,905 a year earlier.
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Analysis
CO2 Energy Transition (NOEM) Change in Accured Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, CO2 Energy Transition reported Change in Accured Expenses of -$60,791; for FY2025, it came in at -$155,508.
- Going back by year, Change in Accured Expenses was $151,534 in FY2024 (+117.6%) and $69,653 in FY2023.
- The Q2 2026 figure represents the highest quarterly Change in Accured Expenses since Q4 2024.
- Business Quant data shows NOEM's Change in Accured Expenses at -$146,897 (Q1 2026), $44,469 (Q4 2025) and -$17,905 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 67.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | -70.30 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | -77.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 36.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 364.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | -55.70 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 69.70 Mn |
| 10 | CO2 Energy Transition | 101.51 Mn | 101.51 Mn | - | 59,542.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59,542.00 |
| Mar 31, 2026 | -146,897.00 |
| Dec 31, 2025 | 44,469.00 |
| Sep 30, 2025 | -17,905.00 |
| Jun 30, 2025 | -51,905.00 |
| Mar 31, 2025 | -130,167.00 |
| Dec 31, 2024 | 185,544.00 |
| Sep 30, 2024 | 8,305.00 |
| Jun 30, 2024 | 4,378.00 |
| Mar 31, 2024 | -46,693.00 |
| Dec 31, 2023 | 44,854.00 |
API Access
CO2 Energy Transition Change in Accured Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=NOEM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "NOEM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=NOEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();